The document summarizes a presentation about search and navigation requirements for a multimedia archive called iMMix. It discusses challenges in searching large audiovisual collections with diverse target groups. It outlines different user types and their information needs, and proposes a model with search competence and knowledge dimensions to support different search behaviors. Key points include connecting user demand to content supply through metadata, the challenges of search interfaces, and adding value through features like thesauri, keyframes and faceted search.

1. Searching + Navigating = Finding! Timo Kouwenhoven DNV-CIBIT [email_address]

5. Challenges… I want it now! Real Time

6. Challenges… I want it all! Lots to choose from

10. Information access, the good (old) way… Front-end / User Interface Back-end Information architecture

11. The promising new way…

14. Connecting supply and demand Supply side Demand side Organize the content management process

15. Connecting supply and demand Categorization of Content (metadata) Supply side Demand side

18. Types of metadata Authorization, Access rights Use metadata access to documents Related subjects Relational metadata relations between documents Keyword Subjects Subject metadata what’s the document about Author, Date, Location, Type, language, … Asset metadata typology of the document Elements Metadata type

21. The trouble with current information retrieval… the interface

22. or even worse…

24. Use metadata to navigate Marti Hearst; http://bailando.sims.berkeley.edu/flamenco.html

25. Fuzzy search

26. Clustering to narrow down results

27. oil www.Inxight.com

29. Model for search interface requirements Low High Low High Search Competence HOW Low Medium Medium High Knowlegde of sources WHERE Uses unprecise jargon, Formulates queries with 1 or 2 words Has difficulties with domain jargon, can formulate complex queries Uses domain jargon , mostly not query language ( lack of competence ) Uses domain jargon and query language Query formul ation Needs detailed results to choose the relevant ones Needs precisely ranked resultlists with extensive descriptions to choose the relevant ones Can recognise relevant results, even from brief summaries Cannot miss anything (high recall) Requirements for result-list Low ‘ the mass es ’ Low Informati on Specialists High Topic Specialists High Analysts Knowledge of context WHAT Target groups

30. Support the way people search for information Systematic gathering of information about specific topic, following some method or procedure . Search focussed on topic, but a good-enough solution is satisfactory . Browse pre-selected sources on pre-specified topics . Scan broadly a diversity of sources; take what is easily accessible . Search Behaviour Able to specify targets and formulate queries. I need just that one. Formal search “Locating / Shortcutting” Able to formulate queries . Able to identify domains. Informal search “Querying” Recognising topics of interest . Browsing with a need. Conditioned viewing “Topic selecting” General areas of interest . Information tourism. Undirected viewing “Browsing / Wandering” Information Need Modes

41. We also learned that… Free text search Rich descriptions: - What do you see? - What is it about? satisfaction 0% 100% Formal metadata Keyframes, Stockshots, A/V- material directly available

44. Homonyms RIVER CONGO

45. Keyframes Gives an idea of the contents of a 30 minute video in 6 stills: “ Ari Vatanen races uphill on the Pikes Peak (Colorado) with a Peugeot”

46. Find the right Stock-shot facets Finding pictures using a faceted-metadata search Marti Hearst; http://bailando.sims.berkeley.edu/flamenco.html

47. Thank you [email_address]